基于粒子群优化算法的边坡临界滑动面搜索方法

采用数值计算结果进行极限平衡分析是边坡稳定性分析的重要方法,最危险滑移面位置的确定是边坡稳定性分析的关键。采用粒子群优化理论控制位于滑移面后缘范围的滑入点和前缘剪出区域的滑出点,以均分逼近法控制滑面半径,实现了边坡内潜在滑移面位置的搜索及安全系数的计算,进而确定了边坡的最小安全系数及最危险潜在滑移面位置,搜索出的滑面不依赖于网格节点。以昆明某公路滑坡为例,将搜索出的最危险滑面与现场勘察成果进行对比,结果表明,采用本文方法计算所得的结果与工程实际较为吻合,证明了该方法的有效性。

Determination Method of Critical Slip Surface Based on PSO Algorithm

It is an important method for slope stability analysis by using the numerical results of limit equilibrium analysis,and how to determine the location of the most dangerous slip surface is the key for the slope stability analysis.This paper introduces a method,which controls the endpoints of slip surface by using particle swarm optimization theory,and controls the surface radius by equipartition approximation method.The method can be used to search the potential slip surface inside a slope and to calculate the safety factor of slip surface,and then the minimum safety factor of the slope and the most dangerous potential slip surface position are determined.Using a landslide of Kunming highway as an example for analysis,comparing the most dangerous sliding surface search with field survey results,the results show that the calculation result is consistent with the practical engineering.Therefore,the validity of this method is confirmed.